An AI startup’s viral LinkedIn story and the ‘fake it till you make it’ approach
In a thought-provoking revelation, Krish Ramineni and Sam Udotong, the founders of Fireflies.ai, shared their unconventional journey of validating their AI startup by pretending to be an AI themselves. In a viral LinkedIn post, Udotong detailed how they manually took notes for over 100 meetings while masquerading as an AI bot named Fred. This “fake it till you make it” strategy sparked significant debate within the startup community, highlighting the ethical boundaries of validation practices in Silicon Valley. Ramineni emphasized that while this approach helped them secure initial customers, it was never meant to be a long-term solution, stating, “You can’t fake it till you make it forever.”
The duo’s story is particularly compelling given the context of their financial struggles in 2017, where they faced the daunting challenge of validating their product idea without any significant funding. With limited resources and the high cost of living in San Francisco, they reached out to contacts in the tech industry, offering a human-powered note-taking service for $100 a month. This hands-on approach not only validated the demand for their product but also provided invaluable insights into what users wanted from an automated meeting assistant. By late 2018, they transitioned from manually taking notes to developing a fully automated solution, ultimately leading to a successful seed funding round of over $4 million in 2019.
Experts weigh in on the implications of their approach, with Tim Weiss from Imperial College London describing it as “pretotyping,” a common but controversial practice in early-stage startups. Kevin Werbach from the Wharton School of Business noted that while “fake it till you make it” is a staple of tech culture, it carries risks, as demonstrated by infamous cases like Elizabeth Holmes of Theranos. Ramineni himself acknowledges the skepticism surrounding AI and stresses the importance of transparency, particularly when engaging with investors. As Fireflies.ai continues to thrive, with over 2 billion meeting minutes recorded and a valuation of $1 billion, their journey serves as a cautionary tale about the fine line between innovation and deception in the tech industry.
https://www.youtube.com/watch?v=1Q50kYnu9Zc
Two AI startup founders who started Fireflies.ai said that they initially pretended to be AI to validate their product idea.
Getty Images; Tyler Le/BI
Two AI startup founders said that they initially pretended to be AI to validate their product idea.
Their viral LinkedIn post sparked debate over startup practices in Silicon Valley.
“You can’t fake it till you make it forever,” said Krish Ramineni, CEO of Fieflies.ai.
Sam Udotong said he and Fireflies.ai cofounder Krish Ramineni manually took notes for over 100 meetings while pretending to be an AI bot called Fred.
The
AI startup
‘s story, posted to LinkedIn by Udotong, raised eyebrows over its “fake it till you make it” approach.
Udotong, CTO of
Fireflies.ai
, which built a product to
automate note-taking
for online meetings, wrote that the company’s first batch of customers in 2017 were getting a human-run Fred.
The post soon went viral on LinkedIn, with nearly 3,000 reactions and hundreds of comments. While some applauded the founders for their approach, others raised questions.
Fireflies.ai is now valued at $1 billion, largely thanks to the rise of virtual meetings during the pandemic.
When Ramineni and Udotong came up with the concept of a meeting notetaker AI, their backs were “against the wall,” Ramineni told Business Insider.
“So we said, we’re down to our last bit of money, let’s figure something out, but this time, before we write a line of code, let’s make sure that we can actually validate it,” said Ramineni,
the CEO of Fireflies.ai. “And we had to pay rent, and SF is really expensive.”
Ramineni was living off savings after a brief stint with Microsoft, and Udotong had never had a full time job. To validate their idea, Ramineni said, they reached out to some friends in the tech space and asked them if they would be willing to pay $100 a month for their meeting notes to be fully taken care of in 2017.
Ramineni said that he told those friends that there would be some
human involvement and oversight
, but did not specify that the process was actually entirely manual. Posing as an AI bot called Fred, the two founders said they joined meetings and took notes by hand, and they usually delivered the notes within a day.
“We had just enough money to pay for the rent where Sam was staying, and we found incredible demand,” Ramineni told Business Insider.
Unlike an AI bot, the founders are humans who could not be omnipresent, and Ramineni said it took about a hundred such sessions for them to grow weary of back-to-back meetings and feel the constant stress about being double-booked.
Ramineni said that Fireflies.ai had not approached any investors until they were already working on the fully automated product, and there was no overlap between investment and the founders pretending to be AI.
By late 2018, the product development was full steam ahead, and they had stopped manually taking notes for customers. Ramineni said they were kept afloat by small checks from angel investors. At the end of 2019, Fireflies.ai was able to beta test its product and do live demos for
institutional investors
, allowing them to raise a seed fund of more than $4 million.
“We told them, actually, for the first couple of users, we sat down, took notes for them, and it helped us realize and understand what it means to do good notes,” said Ramineni of the investors. “And then they were impressed with how we validated the problem first, and then we went and built the product.”
The ‘fake it till you make it’ approach
Tim Weiss, a professor of management and entrepreneurship at Imperial College London, told Business Insider that Fireflies.ai’s approach sounds like “pretotyping,” which is a very common but “questionable” practice.
“Basically, you pretend you have a product to learn about how people engage with it before you build it,” said Weiss. “This is something that is done at the very early stages of a startup to validate an idea, but of course not later on.”
In other words, Fireflies.ai may have simply said the quiet part out loud.
The startup may have skimped on details with early customers, but it did not approach institutional investors until the company had a functioning product to show, the founders said.
Kevin Werbach, professor of legal studies and business ethics at the Wharton School of Business, told Business Insider that, despite the risks, “fake it till you make it” is a “hallowed element” of tech startup culture.
“When done right, it’s Steve Jobs’ ‘reality distortion field’ and countless entrepreneurs that fudged on details to get the time or resources needed to make those claims real,” said Werbach. “When done wrong, it’s
Elizabeth Holmes going to jail
.”
“Most situations are in the middle,” Werbach added.
The “reality distortion field” is a term coined by
Steve Jobs
, the cofounder of Apple, referring to his ability to convince himself and others that seemingly impossible tasks are achievable through the force of will.
According to the “Internet History Podcast,” a show that documents the rise of technology that may seem commonplace right now, the iPhone was frequently failing when Jobs made a sleek demonstration of it back in 2007. Engineers determined a specific order of demo actions for Jobs to perform to prevent the phone from crashing, and hard-coded all the demo units to display five bars of cell strength.
Facebook’s stand-alone personal assistant, called “M,” which was shut down in 2018, was also powered by humans to answer the most complex queries, according to The Verge. The goal was that those humans would help train the AI. The product never made it past its private beta stage, The Verge reported.
Ramineni said that as of today, the AI in Fireflies has done over 2 billion meeting minutes and has taken notes for 20 million people, which would be about 4,000 years of meetings if calculated by an eight-hour workday.
“It’s fair to have a lot of
skepticism around AI
, and I definitely do believe that you have to be transparent in that if you’re raising funds, talking to investors, building the product,” said Ramineni. “You can’t fake it till you make it forever — that’s not how it works.”
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